M

AI Field Engineer (Enterprise)

United States
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Lead technical discovery and deployment of production-ready Generative AI systems for enterprise customers. Build and optimize AI solutions in customer environments using open-source LLMs and inference infrastructure. Requires 3+ years of AI/ML field engineering experience with Kubernetes, Python, and LLM serving frameworks.

Key Highlights
Enterprise Generative AI deployment and production engineering
Customer-facing technical leadership from discovery to deployment
Kubernetes, Python, and LLM serving expertise required

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Key Responsibilities
Lead technical discovery sessions with enterprise customers
Scope and execute Proofs of Concept (POCs), evaluations, and load testing
Build and deploy AI-powered solutions directly within customer environments
Advise customers on model selection, deployment architecture, and fine-tuning strategies
Navigate enterprise security reviews, infrastructure requirements, and procurement processes
Technical Skills Required
Python Kubernetes LLM serving

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Benefits & Perks
Base Salary: $176K - $224K
OTE: $220K - $280K
Quarterly performance-based variable compensation
Competitive equity package
Visa Sponsorship Available
Remote-Friendly within the United States
Hybrid schedule

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Nice to Have
Experience with open-source LLM deployment and optimization
Experience with AI infrastructure platforms and MLOps tooling
Experience building production-grade GenAI applications

Job Description

AI Field Engineer (Enterprise)

📍 Location: San Mateo, CA / New York, NY (Hybrid, Remote-Friendly within the US)

💼 Employment Type: Full-Time

💰 Compensation: $176,000 - $224,000 Base Salary + OTE $220,000 - $280,000 + Equity

About the Role

We are seeking an experienced AI Field Engineer to work directly with enterprise customers and help transform complex Generative AI use cases into production-ready systems. This role combines hands-on AI engineering expertise with customer-facing responsibilities, partnering closely with enterprise stakeholders from discovery through deployment.

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Job Overview
Posted Jun 24, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Devops
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